Senior AI Engineer

About the Role

We are seeking a talented and versatile Senior AI Engineer with a strong foundation in

Generative AI, Agentic AI, and Software Development and building robust, high-performance

systems to join our growing team in Gurugram. This role requires practical experience in

building and deploying scalable, reliable, and observable applications using FastAPI, Celery,

and modern Python.

The ideal candidate will be passionate about developing innovative AI-driven solutions, possess

excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI

projects—from research and development to resilient, production-grade deployment.

Key Responsibilities

API & Solution Development

● Design, build, and maintain high-performance, scalable RESTful APIs using FastAPI,

leveraging its async programming patterns for maximum concurrency.

● Implement rigorous data validation and settings management using Pydantic.

● Write clean, efficient, testable, and well-documented Python code.

● Integrate database solutions using SQLAlchemy for efficient, asynchronous data storage

and retrieval.

● Design and implement fault-tolerant background tasks and distributed task queues using

Celery (with RabbitMQ/Redis as brokers) to handle long-running processes and offload

work from the API.

● Containerize applications using Docker to ensure seamless deployment and

environment consistency.

Prompt Engineering & GenAI Integration

● Design, develop, test, and refine complex prompts for Large Language Models (LLMs)

and other Generative AI models.

● Optimize prompts to ensure accuracy, safety, and desired contextual output.

● Integrate prompt-engineered solutions and Generative AI model outputs into the core

application logic via FastAPI endpoints.

● Evaluate cost-performance trade-offs across a broad range of proprietary and

open-source LLMs to select the right model for a given use case.

Agentic AI

● Design, develop, test, and refine complex agentic flows using agentic AI frameworks like

LangChain, LangGraph, LangFuse, AWS Bedrock, Google ADK, AWS AgentCore, etc.

● Architect Agentic AI applications using MCP, RAG, GraphRAG, ReAct approaches.

Full-Stack & AI-Assisted Development

● Build lightweight front-end interfaces (React, Next.js) to complement backend AI

services, leveraging vibe-coding tools such as Claude Code or Codex.

● Build and deploy full-stack applications end-to-end using the above stack

(FastAPI/Celery backend + React/Next.js frontend).

● Own AI automation projects end-to-end — from architecture and prompt/agent design

through backend integration, frontend delivery, and production deployment.

Performance, Reliability & Deployment

● Design and execute performance benchmarks and load testing using tools like Locust to

ensure scalability and identify bottlenecks under pressure.

● Implement robust observability practices, including structured logging, metrics (e.g.,

Prometheus), and tracing to monitor system health and performance.

● Deploy containerized applications into production, focusing on high reliability, fault

tolerance, and scalability.

● Optimize database queries and application logic for speed and low latency.

Research & Innovation

● Stay abreast of advancements in Generative AI, prompt engineering, and

high-performance Python development.

● Experiment with new tools, frameworks, and methodologies to drive innovation within the

team.

Collaboration & Communication

● Work closely with cross-functional teams including data scientists, backend engineers,

DevOps, and product stakeholders.

● Present technical insights clearly and contribute to peer reviews and team knowledge

sharing.

Qualification & Functional Skills

General

● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related

field.

● 4-6 years of hands-on experience in Python development, with a strong focus on

building scalable backend systems.

● Proven, hands-on experience designing and building production-grade RESTful APIs

using FastAPI.

● Deep understanding of Python's async programming patterns (async/await) and their

practical application.

● Expert-level understanding of Pydantic for data modeling and validation.

● Demonstrable experience in Prompt Engineering for Generative AI models.

● Strong proficiency with SQLAlchemy (preferably with its async capabilities) and relational

databases.

● Experience with containerization and orchestration using Docker.

● Hands-on experience with performance and load testing frameworks, specifically Locust.

● Familiarity with observability tools and practices (e.g., AWS Cloudwatch, Prometheus,

Grafana, ELK stack) to ensure system reliability.

● Experience with version control systems (e.g., Git).

● Excellent problem-solving, analytical, and critical thinking skills.

● Strong communication and collaboration abilities.

Mandatory

● Agentic AI Frameworks: LangChain, LangGraph, LangFuse, AWS Bedrock.

● Backend & Distributed Systems: Celery, FastAPI, RabbitMQ, Redis.

● Vibe-Coding Tool Familiarity: Claude Code or Codex.

● Frontend (familiarity to build with vibe-coding tools): React, Next.js.

● Experience with cost-performance trade-offs across a broad range of LLMs, including

open-source LLMs.

● Built and deployed full-stack applications using tools from the above stack.

● Handled AI automation projects end-to-end using the above tools.

Nice to Have

● Agentic AI Frameworks: LangChain, LangGraph, LangFuse, AWS Bedrock, AWS

AgentCore, GCP Vertex AI, Google ADK.

● Backend & Distributed Systems: Celery, FastAPI, RabbitMQ, Redis, Temporal.

● Vibe-Coding Tool Familiarity: Claude Code, Codex, OpenCode.

● Frontend (familiarity to build with vibe-coding tools): React, Next.js, CopilotKit,

Vercel AI SDK.

● Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.

● Role: Software Development - Other

● Industry Type: IT Services & Consulting

● Department: Engineering - Software & QA

● Employment Type: Full Time

● Role Category: Software Development

● Education: UG: B.Tech/B.E. in Computers or a related field

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